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Larose, Daniel T.

Discovering Knowledge in Data: An Introduction to Data Mining

Larose, Daniel T. - Discovering Knowledge in Data: An Introduction to Data Mining, ebook

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  • The second edition of a highly praised, successful reference on data mining, with thorough coverage of big data applications, predictive analytics, and statistical analysis.
  • Includes new chapters on Multivariate Statistics, Preparing to Model the Data, and Imputation of Missing Data, and an Appendix on Data Summarization and Visualization
  • Offers extensive coverage of the R statistical programming language
  • Contains 280 end-of-chapter exercises
  • Includes a companion website with further resources for all readers, and Powerpoint slides, a solutions manual, and suggested projects for instructors who adopt the book

Keywords: Data Mining & Knowledge Discovery, discovering knowledge in data, data mining, data mining guide, data mining text, data mining book, multivariate statistical analysis, variance analysis, chi-square procedures, cost-benefit analyses, time-series data analysis, R programming language, R language, R statistical programming, R statistical programming language, data analysis, data analysis techniques

Author(s)
Publisher
John Wiley and Sons, Inc.
Publication year
2014
Language
en
Edition
2
Series
Wiley Series on Methods and Applications in Data Mining
Page amount
336 pages
Category
Information Technology, Telecommunications
Format
Ebook
eISBN (ePUB)
9781118873571
Printed ISBN
9780470908747

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